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Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 17 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1
Collections
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Collections including paper arxiv:1910.10683
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sentence-transformers/all-mpnet-base-v2
Sentence Similarity • Updated • 34.5M • • 1.01k -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 11 -
google-t5/t5-base
Translation • Updated • 3.15M • • 676 -
Attention Is All You Need
Paper • 1706.03762 • Published • 55
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 11 -
AutoTrain: No-code training for state-of-the-art models
Paper • 2410.15735 • Published • 59 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 120 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 35
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Lumiere: A Space-Time Diffusion Model for Video Generation
Paper • 2401.12945 • Published • 85 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 25 -
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
Paper • 2403.18818 • Published • 26 -
TC4D: Trajectory-Conditioned Text-to-4D Generation
Paper • 2403.17920 • Published • 18
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Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 48 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 5 -
Training a T5 Using Lab-sized Resources
Paper • 2208.12097 • Published • 1 -
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints
Paper • 2212.05055 • Published • 5
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Nemotron-4 15B Technical Report
Paper • 2402.16819 • Published • 45 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 55 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 17 -
Reformer: The Efficient Transformer
Paper • 2001.04451 • Published
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Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 10 -
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Paper • 1909.08053 • Published • 2 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 11 -
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
Paper • 2304.01373 • Published • 9